摘要
矿井下机车跟踪与故障抓拍系统是为实时检测机车故障提供可靠、清晰、准确的跟踪要求。在该系统中,针对井下机车动态跟踪难以满足可靠、准确跟踪的要求,提出了一种基于混合高斯模型检测算法对机车实时检测与跟踪,提高了定位精度;针对井下视频监控清晰度不高,提出了一种在视频监控中利用基于梯度极值结合目标实际运动矢量的方法实现对故障目标的抓拍,提供清晰、可处理的图像。
Mine locomotive tracking and fault paparazzi system for real-time detection engine failure is to provide reliable,clear,accurate tracking requirements. The underground dynamic tracking for locomotive is difficult to meet requirements of reliable, accurate tracking, and puts forward a kind of detection algorithm based on gaussian mixture model of locomotive real-time detection and tracking, improve location accuracy; underground video monitoring for clarity is not high, proposes a new video monitoring based on combination of extreme value gradient in actual target motion vector method for fault goals of paparazzi, provide clear, ean handle images.
出处
《煤矿机械》
北大核心
2013年第2期151-152,共2页
Coal Mine Machinery
关键词
井下机车
动态跟踪
故障抓拍
监视疲劳
underground locomotive
dynamic tracking
fault paparazzi
surveillance fatigue
